Monalisa Bakshi

M.Tech (Signal Processing) 2024

Biography

Monalisa completed her B.Tech. in Electronics and Communication Engineering from Future Institute of Engineering and Management, West Bengal, in 2022. The same year, she joined IISc to pursue M.Tech. in Signal Processing. During her M.Tech., she was awarded the Wells Fargo Women’s Fellowship. She is currently working at Mercedes-Benz.

Publications

2025

SIIMS 25

LURE: An Unsupervised Denoising Framework for Multiplicative Lognormal Noise

M. Bakshi, G. Venkat, N. Bisen, C. S. Seelamantula, and T. Blu

SIAM Journal on Imaging Sciences, 2025

BIB URL

@article{bakshi2025lure,
  author = {Bakshi, M. and Venkat, G. and Bisen, N. and Seelamantula, C. S. and Blu, T.},
  journal = {SIAM Journal on Imaging Sciences},
  number = {4},
  pages = {2580--2604},
  publisher = {SIAM},
  title = {LURE: An Unsupervised Denoising Framework for Multiplicative Lognormal Noise},
  url = {https://epubs.siam.org/doi/full/10.1137/24M1700508},
  volume = {18},
  year = {2025}
}

MICCAI-UWDR 25

EfficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus Images

M. Bakshi, and C. S. Seelamantula

In MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2025

BIB URL

@inproceedings{bakshi2025efficientnet,
  author = {Bakshi, M. and Seelamantula, C. S.},
  booktitle = {MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy},
  title = {EfficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus Images},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Ak0FvsSvgGUC},
  year = {2025}
}